【摘 要】
：
The coliform of Lun River from XiaoGan segment was taken as the object.And the raw data were modeled,fitted,tested and predicted by random GA-LM-BP network.The variation trend of general data can be w
【机 构】
：
School of Life Science and Technology,Hubei Engineering University,432000 XiaoGan,China;Hubei Key La
【出 处】
：
2014年国际计算机科学与软件工程学术会议
论文部分内容阅读
The coliform of Lun River from XiaoGan segment was taken as the object.And the raw data were modeled,fitted,tested and predicted by random GA-LM-BP network.The variation trend of general data can be well described by differential equation based on grey theory,but its fitting error is big.LM-BP Network has the excellent ability of nonlinear mapping,and it is used to correct the residual error for grey forecast.The LM-BP neural network is sensitive to its initial weights and thresholds,and its generalization ability is low.The GA (Genetic algorithm) was used to optimize its initial weights and thresholds,and its generalization ability could be greatly improved.To further improve its generalization ability,the LM-BP network was optimized many times by the random GA.It received a good effect and the validity of this method was proved.Furthermore the method has generality.
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